Datentyp-Optimierung in Simulink
Die Datentypoptimierung ist ein automatisierter Workflow zur Datentypkonvertierung, der verschiedene Festkomma-Konfigurationen durchläuft, um die optimalen heterogenen Datentypen auszuwählen und gleichzeitig die Toleranzbeschränkungen für das numerische Verhalten Ihres Systems einzuhalten. Die Optimierung zielt darauf ab, mithilfe von Festkomma-Datentypen für einen effizienten Entwurf eine Zielfunktion zu minimieren, wie beispielsweise die Gesamt-Bitbreite oder die Operatoren-Gesamtanzahl.
Sie können Datentypen mithilfe der fxpopt-Funktion in der Befehlszeile oder den Workflow Optimized Fixed-Point Conversion im Fixed-Point Tool optimieren.
Tools
| Fixed-Point Tool | Convert a floating-point model to a fixed-point model |
Funktionen
fxpopt | Optimize data types of a system |
Klassen
fxpOptimizationOptions | Specify options for data type optimization |
OptimizationSolution | Optimized fixed-point implementation of system |
OptimizationResult | Result after optimizing fixed-point system |
Themen
- Data Type Conversion Overview
Convert data types in your model to fixed point in one of three ways.
- Best Practices for Fixed-Point Conversion Workflow
Use best practices when converting a model to fixed point.
- Specify Behavioral Constraints
Use signal tolerances and model verification blocks to verify behavior of fixed-point implementation.
- Optimize Fixed-Point Data Types for a System
Optimize data types in a system based on specified tolerances.
- Optimize the Fixed-Point Data Types of a System Using the Fixed-Point Tool
Use the Fixed-Point Tool to optimize the data types of a system using multiple simulation scenarios.
- Optimize Data Types Using Multiple Simulation Scenarios
Define multiple simulation scenarios for range collection and verification.
- Perform Data Type Optimization with Custom Behavioral Constraints
Use Model Verification blocks to specify custom behavioral constraints for data type optimization with
fxpopt. - Use Custom Cost Functions for Optimized Fixed-Point Conversion
Customize objective function for optimized fixed-point conversion.
- Model Configuration Changes Made During Data Type Optimization
Changes made to model configuration parameters during data type optimization with
fxpopt.
Fehlersuche
Blocks That Do Not Support Fixed-Point Data Types
Troubleshoot blocks that are not supported for fixed-point conversion.
Data Type Optimization Not Successful
Troubleshoot errors thrown during data type optimization using the
fxpopt function.
Follow best practices and avoid unsupported MATLAB® Function block features.
Enthaltene Beispiele
Optimize Data Types for an FPGA with DSP Slices
Use the addSpecification method to achieve better mapping for
product and gain blocks.
Convert Neural Network Algorithms to Fixed-Point Using fxpopt and Generate HDL Code
Convert a neural network to fixed point using fixed-point optimization and lookup table optimization.
Image Denoising Using Fixed-Point Quantized Restricted Boltzmann Machine Algorithm
Convert a Restricted Boltzmann Machine (RBM) algorithm to an embedded-efficient version.
Use Design Evolution Manager with Fixed-Point Tool
Use the Design Evolution Manager app to manage different design versions while using the Fixed-Point Tool and the Lookup Table Optimizer to convert a floating-point model to use fixed-point data types. Although this example demonstrates how to convert models to use fixed-point data types, you can use the Design Evolution Manager app to organize and analyze any work in which you create different versions of files in your design.
